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Low-Power and High-Perceptibility Underwater Drone Implementation for Inshore Aquaculture

In: Advances and New Trends in Environmental Informatics

Author

Listed:
  • Tian Song

    (Graduate School of Technology, Industrial and Social Sciences, Tokushima University)

  • Takafumi Katayama

    (Graduate School of Technology, Industrial and Social Sciences, Tokushima University)

  • Takashi Shimamoto

    (Graduate School of Technology, Industrial and Social Sciences, Tokushima University)

  • Xiantao Jiang

    (Shanghai Maritime University)

Abstract

In this work, a total solution is proposed for a typical underwater drone with high quality and low power consumption dedicated to inshore aquaculture. The proposed method introduced a high-perceptibility underwater image correction algorithm using a structural similarity evaluation to improve the video quality and object detection accuracy. The proposed algorithm considered real-time performance and low-power consumption by redesigning a compact model. It also employed automatic mixed precision (AMP) to effectively reduce the computational redundancy. An efficient implementation is also introduced using a low-cost GPU board, namely Jetson Xavier NX. The proposed implementation demonstrates improved object detection performance with a processing speed up to 60 fps.

Suggested Citation

  • Tian Song & Takafumi Katayama & Takashi Shimamoto & Xiantao Jiang, 2025. "Low-Power and High-Perceptibility Underwater Drone Implementation for Inshore Aquaculture," Progress in IS, in: Volker Wohlgemuth & Hamdy Kandil & Amna Ramzy (ed.), Advances and New Trends in Environmental Informatics, pages 105-121, Springer.
    • Handle: RePEc:spr:prochp:978-3-031-85284-8_7
    DOI: 10.1007/978-3-031-85284-8_7
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